Ines Bucci

2.0k citations
75 papers · 1.5k · h-index 22

Impact in

Papers in

Ines Bucci

70 papers receiving 1.4k citations

Peers

Ines Bucci
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 424
  • Biochemistry 62
  • Geriatrics and Gerontology 30
  • Immunology 165
  • Complementary and alternative medicine 60
Replace Giorgio Napolitano with:
Giorgio Napolitano Italy
Valeska Ormazábal Chile
Alessandra Dei Italy
Panagiota Mitrou Greece
Anna Foryst‐Ludwig Germany
Joselyn Rojas Venezuela
A. Avignon France
Jihyun Song South Korea
Anna Maria Molinari Italy
Ismail Patimah Malaysia
Ines Bucci relative to Giorgio Napolitano Italy Giorgio Napolitano's profile →
Citations per field
00.5×1.5×
Giorgio Napolitano · 1×
Citations per year

Countries citing papers authored by Ines Bucci

Since Specialization
Citations

This map shows the geographic impact of Ines Bucci's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ines Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ines Bucci more than expected).

Fields of papers citing papers by Ines Bucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ines Bucci. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ines Bucci. The network helps show where Ines Bucci may publish in the future.

Co-authors

The 25 scholars most cited alongside Ines Bucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ines Bucci Line = papers co-authored together Ines Bucci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 1993105
3 200078
4
[Nf-kB transcription factor: role in the pathogenesis of inflammatory, autoimmune, and neoplastic diseases and therapy implications].
200277
5 201462
6 201159
7 201755
8 199955
9 201353
10 201753
11 199346
12 200744
13 201239
14 202235
15 201934
16 201234
17 201224
18 201223
19 201423
20 199623

About Ines Bucci

Ines Bucci is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Pediatrics, Perinatology and Child Health, Molecular Biology and Cancer Research, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (17 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer survivorship and care (6 papers), Physical Activity and Health (5 papers), NF-κB Signaling Pathways (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Metabolism and Genetic Disorders (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (424 citations), Biochemistry (62 citations), Geriatrics and Gerontology (30 citations), Immunology (165 citations) and Complementary and alternative medicine (60 citations). Ines Bucci has collaborated with scholars based in Italy, United States and Montenegro. Frequent co-authors include Giorgio Napolitano, Cesidio Giuliani, Andrea Di Blasio, Serena Di Santo, Leonard D. Kohn, Pascal Izzicupo, Fabrizio Monaco, Giulia Di Dalmazi, Cosmo Rossi and Angela Di Baldassarre. Their work appears in journals such as Frontiers in Endocrinology, International Journal of Environmental Research and Public Health, Endocrinology, Biological Trace Element Research and European Journal of Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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